dorsal/arxiv
View SchemaThe use of cluster quality for track fitting in the CSC detector
| Authors | Erez Etzion, David Primor, Giora Mikenberg, Nir Amram, Hagit Messer |
|---|---|
| Categories | |
| ArXiv ID | physics/0612129 |
| URL | https://arxiv.org/abs/physics/0612129 |
| DOI | 10.1109/NSSMIC.2006.356098 |
Abstract
The new particle accelerators and its experiments create a challenging data processing environment, characterized by large amount of data where only small portion of it carry the expected new scientific information. Modern detectors, such as the Cathode Strip Chamber (CSC), achieve high accuracy of coordinate measurements (between 50 to 70 microns). However, heavy physical backgrounds can decrease the accuracy significantly. In the presence of such background, the charge induced over adjacent CSC strips (cluster) is different from the ideal Matheison distribution. The traditional least squares method which takes the same ideal position error for all clusters loses its optimal properties on contaminated data. A new technique that calculates the cluster quality and uses it to improve the track fitting results is suggested. The algorithm is applied on test beam data, and its performance is compared to other fitting methods. It is shown that the suggested algorithm improves the fitting performance significantly.
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"abstract": "The new particle accelerators and its experiments create a challenging data\nprocessing environment, characterized by large amount of data where only small\nportion of it carry the expected new scientific information. Modern detectors,\nsuch as the Cathode Strip Chamber (CSC), achieve high accuracy of coordinate\nmeasurements (between 50 to 70 microns). However, heavy physical backgrounds\ncan decrease the accuracy significantly. In the presence of such background,\nthe charge induced over adjacent CSC strips (cluster) is different from the\nideal Matheison distribution. The traditional least squares method which takes\nthe same ideal position error for all clusters loses its optimal properties on\ncontaminated data. A new technique that calculates the cluster quality and uses\nit to improve the track fitting results is suggested. The algorithm is applied\non test beam data, and its performance is compared to other fitting methods. It\nis shown that the suggested algorithm improves the fitting performance\nsignificantly.",
"arxiv_id": "physics/0612129",
"authors": [
"Erez Etzion",
"David Primor",
"Giora Mikenberg",
"Nir Amram",
"Hagit Messer"
],
"categories": [
"physics.data-an"
],
"doi": "10.1109/NSSMIC.2006.356098",
"title": "The use of cluster quality for track fitting in the CSC detector",
"url": "https://arxiv.org/abs/physics/0612129"
},
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